Why you should use Data Wrangling Test?

The Test Wrangling danych makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Ekstrakcja danych przy użyciu różnych metod Parsowanie danych z precyzją i dokładnością Integracja danych dla płynnego przepływu danych Ocena jakości w celu zapewnienia integralności danych Walidacja danych w celu zidentyfikowania i poprawienia błędów Modelowanie danych w celu skutecznego reprezentacji Interpretacja danych w celu uzyskania spostrzeżeń Analiza danych za pomocą technik statystycznych Obsługa wyjątków i błędów w manipulacji danymi Efektywnie zarządzanie dużymi zestawami danych

Data Wrangling Test

Q: What topics are covered in the Data Wrangling Test?

Ekstrakcja danych Parsowanie danych Integracja danych Ocena jakości Walidacji danych Modelowanie danych Interpretacja danych Analiza danych

About the test:

Test Wranging danych ocenia umiejętności kandydata w czyszczeniu, przekształcaniu i organizowaniu surowych danych w ustrukturyzowany format odpowiedni do analizy. Testuje ich zrozumienie procesów modelowania danych, interpretacji, analizy i wprowadzania.

Covered skills:

Ekstrakcja danych
Integracja danych
Walidacji danych
Interpretacja danych

Parsowanie danych
Ocena jakości
Modelowanie danych
Analiza danych

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9 reasons why

Adaface Data Wrangling Assessment Test is the most accurate way to shortlist Analityk danychs

Reason #1

Tests for on-the-job skills

The Data Wrangling Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Możliwość wyodrębnienia danych z różnych źródeł
Możliwość analizowania i czyszczenia danych
Możliwość integracji i łączenia danych z wielu źródeł
Możliwość oceny jakości danych
Zdolność do weryfikacji danych i identyfikacji wszelkich niespójności
Możliwość tworzenia modeli danych
Umiejętność interpretacji danych i wyciągania znaczących wniosków
Możliwość analizy danych za pomocą metod i narzędzi statystycznych

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

To tylko niewielka próbka z naszej biblioteki ponad 10 000 pytań. Rzeczywiste pytania dotyczące tego Test Wrangling danych będzie nieobowiązany.

🧐 Question
Easy Healthcare System Data Integrity Normalization Referential Integrity	Try practice test
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
Hard ER Diagram and minimum tables ER Diagram	Try practice test
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
Medium Normalization Process Normalization Database Design Anomaly Elimination	Try practice test
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
Medium University Courses ER Diagrams Complex Relationships Integrity Constraints	Try practice test
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.
Medium Dividends Financial Analysis Percentage and Average Calculations	Try practice test
Consider the following line chart which shows the money invested by a company in production each year and the sales made by the company each year. If the pie chart shows the shareholding pattern of the company and the company gives 10% of the profit as dividends to its share holders then what is the average dividend received by retail investors from 2000 to 2004?
Medium Laptop Brands Proportions and Percentages Financial Reasoning	Try practice test
Given below is the list of laptop brands and their details in which some data is missing. If the cost price of Dell is 3/5 of the cost price of Lenovo, then what will be the %profit of Dell?
Hard Median Trend Analysis Statistical Reasoning	Try practice test
Consider the following line chart which shows the sales of five different companies from 2000 to 2009. Which of the following companies has the maximum percentage increase in the median from 2000 to 2004 and 2005 to 2009.
Medium Hiring Developer Skewed Data Graph	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
Medium Negative correlation	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill
	Easy Healthcare System Data Integrity Normalization Referential Integrity	2 mins Data Modeling	Try practice test
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
	Hard ER Diagram and minimum tables ER Diagram	2 mins Data Modeling	Try practice test
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
	Medium Normalization Process Normalization Database Design Anomaly Elimination	3 mins Data Modeling	Try practice test
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
	Medium University Courses ER Diagrams Complex Relationships Integrity Constraints	2 mins Data Modeling	Try practice test
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.
	Medium Dividends Financial Analysis Percentage and Average Calculations	3 mins Data Interpretation	Try practice test
Consider the following line chart which shows the money invested by a company in production each year and the sales made by the company each year. If the pie chart shows the shareholding pattern of the company and the company gives 10% of the profit as dividends to its share holders then what is the average dividend received by retail investors from 2000 to 2004?
	Medium Laptop Brands Proportions and Percentages Financial Reasoning	2 mins Data Interpretation	Try practice test
Given below is the list of laptop brands and their details in which some data is missing. If the cost price of Dell is 3/5 of the cost price of Lenovo, then what will be the %profit of Dell?
	Hard Median Trend Analysis Statistical Reasoning	3 mins Data Interpretation	Try practice test
Consider the following line chart which shows the sales of five different companies from 2000 to 2009. Which of the following companies has the maximum percentage increase in the median from 2000 to 2004 and 2005 to 2009.
	Medium Hiring Developer Skewed Data Graph	3 mins Data Analysis	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Medium Negative correlation	2 mins Data Analysis	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Healthcare System Data Integrity Normalization Referential Integrity	Data Modeling	Easy	2 mins	Try practice test
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
	ER Diagram and minimum tables ER Diagram	Data Modeling	Hard	2 mins	Try practice test
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
	Normalization Process Normalization Database Design Anomaly Elimination	Data Modeling	Medium	3 mins	Try practice test
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
	University Courses ER Diagrams Complex Relationships Integrity Constraints	Data Modeling	Medium	2 mins	Try practice test
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.
	Dividends Financial Analysis Percentage and Average Calculations	Data Interpretation	Medium	3 mins	Try practice test
Consider the following line chart which shows the money invested by a company in production each year and the sales made by the company each year. If the pie chart shows the shareholding pattern of the company and the company gives 10% of the profit as dividends to its share holders then what is the average dividend received by retail investors from 2000 to 2004?
	Laptop Brands Proportions and Percentages Financial Reasoning	Data Interpretation	Medium	2 mins	Try practice test
Given below is the list of laptop brands and their details in which some data is missing. If the cost price of Dell is 3/5 of the cost price of Lenovo, then what will be the %profit of Dell?
	Median Trend Analysis Statistical Reasoning	Data Interpretation	Hard	3 mins	Try practice test
Consider the following line chart which shows the sales of five different companies from 2000 to 2009. Which of the following companies has the maximum percentage increase in the median from 2000 to 2004 and 2005 to 2009.
	Hiring Developer Skewed Data Graph	Data Analysis	Medium	3 mins	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Negative correlation	Data Analysis	Medium	2 mins	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

Reason #4

1200+ customers in 75 countries

Dzięki Adaface udało nam się zoptymalizować nasz proces wstępnej selekcji o ponad 75%, oszczędzając cenny czas zarówno menedżerom ds. rekrutacji, jak i naszemu zespołowi ds. pozyskiwania talentów!

Brandon Lee, Głowa Ludu, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Test Wrangling danych in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Test Wrangling danych from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

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About the Data Wrangling Online Test

Why you should use Pre-employment Data Wrangling Test?

The Test Wrangling danych makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Ekstrakcja danych przy użyciu różnych metod
Parsowanie danych z precyzją i dokładnością
Integracja danych dla płynnego przepływu danych
Ocena jakości w celu zapewnienia integralności danych
Walidacja danych w celu zidentyfikowania i poprawienia błędów
Modelowanie danych w celu skutecznego reprezentacji
Interpretacja danych w celu uzyskania spostrzeżeń
Analiza danych za pomocą technik statystycznych
Obsługa wyjątków i błędów w manipulacji danymi
Efektywnie zarządzanie dużymi zestawami danych

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Data Wrangling Test?

Ekstrakcja danych
Ekstrakcja danych to proces pobierania odpowiednich danych z różnych źródeł, takich jak bazy danych, pliki, strony internetowe lub interfejs API. Ta umiejętność jest mierzona w teście w celu oceny zdolności kandydata do skutecznego gromadzenia wymaganych danych do analizy i podejmowania decyzji.
Parsowanie danych
Parsowanie danych obejmuje rozbicie złożonych struktur danych na mniejsze , znaczące komponenty. Ważne jest, aby zmierzyć tę umiejętność oceny zdolności kandydata do wyodrębnienia określonych informacji i manipulowania danymi w celu dalszego przetwarzania.
Integracja danych
Integracja danych odnosi się do łączenia danych z różnych źródeł w A Ujednolicony i spójny format do analizy. Testowanie tej umiejętności pomaga określić biegłość kandydata w łączeniu zestawów danych i przygotowywanie go do dokładnej analizy i raportowania danych.
Ocena jakości
Ocena jakości obejmuje ocenę wiarygodności, dokładności i kompletności danych . Ta umiejętność jest mierzona w teście w celu oceny zdolności kandydata do identyfikacji i naprawienia wszelkich niespójności, błędów lub duplikacji w zebranym zestawie danych.
Walidacja danych
Walidacja danych obejmuje weryfikację integralności oraz dokładność danych poprzez wykonanie kontroli sprawdzania poprawności na podstawie zdefiniowanych reguł lub ograniczeń. Mierzenie tych umiejętności pomaga w ocenie biegłości kandydata w identyfikowaniu i rozwiązywaniu problemów jakości danych w celu zapewnienia spójności i niezawodności danych.
Modelowanie danych
Modelowanie danych obejmuje projektowanie i konstruowanie koncepcyjnej reprezentacji danych Aby wspierać skuteczne zarządzanie danymi i analiza. Ta umiejętność jest mierzona w teście w celu oceny zdolności kandydata do tworzenia strukturalnych modeli danych, które umożliwiają efektywną organizację danych, przechowywanie i pobieranie.
Interpretacja danych
Interpretacja danych odnosi się do zrozumienia oraz analiza danych w celu uzyskania znaczących spostrzeżeń i podejmowania świadomych decyzji. Testowanie tej umiejętności pomaga ocenić zdolność kandydata do interpretacji wizualizacji danych, analizy statystycznej i innych technik wyodrębnienia cennych informacji.
Analiza danych
Analiza danych obejmuje zastosowanie metod statystycznych i analitycznych w celu zbadania , Przekształć i oceń dane dotyczące wyciągania wniosków i podejmowania decyzji opartych na danych. Testowanie tej umiejętności pomaga ocenić biegłość kandydata w stosowaniu różnych technik i narzędzi do odkrywania wzorców, trendów, korelacji i wartości odstających w danych.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Test Wrangling danych to be based on.
Ekstrakcja danych
Skrobanie internetowe
Integracja API
Regex
Czyszczenie danych
Transformacja danych
Scalanie danych
Deduplikacja danych
Profilowanie danych
Walidacji danych
Audyt danych
Modelowanie relacji jednostki
Modelowanie wymiarowe
Interpretacja danych
Wizualizacja danych
Opisowe statystyki
Testowanie hipotez
Analiza regresji
Analiza szeregów czasowych
Analiza korelacji
Próbkowanie danych
Eksploracja danych
Agregacja danych
Filtrowanie danych
Transformacja danych
Techniki wizualizacji danych
Klasyfikacja danych
Klastrowanie danych
Podsumowanie danych
Analiza geoprzestrzenna

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What roles can I use the Data Wrangling Test for?

Analityk danych
Naukowiec danych
Inżynier danych
Architekt danych
Analityk Biznesowy
Administrator bazy danych
Analityk ds. Jakości danych
Specjalista ds. Wizualizacji danych
Inżynier uczenia maszynowego
Analityk ilościowy

How is the Data Wrangling Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Identyfikacja wzorców i trendów w danych
Stosowanie technik wirgingu danych do czyszczenia danych
Optymalizacja przechowywania danych i wyszukiwania danych
Wdrażanie operacji transformacji danych
Tworzenie rurociągów danych do automatyzacji
Wykonanie inżynierii cech do modelowania predykcyjnego
Wdrożenie zaawansowanej wizualizacji danych
Przeprowadzenie testów hipotez w sprawie walidacji danych
Stosowanie algorytmów uczenia maszynowego do analizy predykcyjnej
Projektowanie strategii opartych na danych dotyczących decyzji biznesowych

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Menedżerowie ds. rekrutacji mieli poczucie, że dzięki technicznym pytaniom, które zadawali podczas rozmów panelowych, byli w stanie stwierdzić, którzy kandydaci uzyskali lepsze wyniki, i odróżnić się od tych, którzy również nie uzyskali takich punktów. Oni są bardzo zadowolony z jakością kandydatów wybranych do selekcji Adaface.

85%

Zmniejszenie czasu badań przesiewowych

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Data Wrangling Hiring Test Często zadawane pytania

Czy mogę połączyć wiele umiejętności w jedną niestandardową ocenę?

Tak, absolutnie. Oceny niestandardowe są konfigurowane na podstawie opisu stanowiska i będą zawierać pytania dotyczące wszystkich określonych umiejętności, które określasz.

Czy masz jakieś funkcje anty-cheatingowe lub proktorowe?

Mamy następujące funkcje anty-cheatingowe:

Pytania o niezgodne z nich
Proctoring IP
Proctoring Web
Proctoring kamery internetowej
Wykrywanie plagiatu
Bezpieczna przeglądarka

Przeczytaj więcej o funkcjach Proctoring.

Jak interpretować wyniki testów?

Najważniejsze, o czym należy pamiętać, jest to, że ocena jest narzędziem eliminacyjnym, a nie narzędziem wyboru. Ocena umiejętności jest zoptymalizowana, aby pomóc Ci wyeliminować kandydatów, którzy nie są technicznie zakwalifikowani do roli, nie jest zoptymalizowana, aby pomóc Ci znaleźć najlepszego kandydata do tej roli. Dlatego idealnym sposobem na wykorzystanie oceny jest podjęcie decyzji o wyniku progowym (zwykle 55%, pomagamy Ci porównać) i zaprosić wszystkich kandydatów, którzy wyniki powyżej progu na następne rundy wywiadu.

Do jakiego poziomu doświadczenia mogę użyć tego testu?

Każda ocena Adaface jest dostosowana do opisu stanowiska/ idealnego kandydującego osobowości (nasi eksperci przedmiotu będą podejmować właściwe pytania dotyczące oceny z naszej biblioteki ponad 10000 pytań). Ocenę tę można dostosować do dowolnego poziomu doświadczenia.

Czy każdy kandydat otrzymuje te same pytania?

Tak, znacznie ułatwia porównanie kandydatów. Opcje pytań MCQ i kolejność pytań są losowe. Mamy funkcje anty-cheating/proctoring. W naszym planie korporacyjnym mamy również możliwość tworzenia wielu wersji tej samej oceny z pytaniami o podobnych poziomach trudności.